What problem does it solve? Large spreadsheets, dense PDFs, and multi-document pipelines can make data-heavy applications slow, memory-hungry, or silently lossy under load. This Skill provides a structured review lens that catches performance regressions, unbounded queries, memory explosions, and lossy optimizations before they ship. ## Core Features & Use Cases - Performance Review Checklist: Evaluates query fan-out, pagination, caching, background workers, timeouts, retries, and rendering costs against explicit non-negotiable rules. - Authority Classification: Classifies every reviewed path as production authority, compatibility, shadow, design target, or superseded before drawing performance conclusions. - Structured Verdict Output: Produces a Pass / Pass with Concerns / Fail verdict with severity-ordered issues, minimal fixes, regression risks, and suggested tests. - Use Case: When a PR adds a new extraction pipeline or a Supabase-heavy API route, run this review to verify bounded reads, honest partial/failure states, and measured hot paths before merging. ## Quick Start Ask the AI to review the current pull request with the eightforge-performance-reviewer skill and report any scalability or lossy-optimization issues.